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Interpretation of the 2022 edition of “guidelines for diagnosis and management of hyperthyroidism and other causes of thyrotoxicosis in China” XU Bojin, PENG Wenfang, HUANG Shan Journal of Surgery Concepts & Practice    2023, 28 (06): 512-519.   DOI: 10.16139/j.1007-9610.2023.06.05 Abstract （807）   HTML （8）    PDF（pc） （889KB）（3109）       Knowledge map    Save “Guidelines for diagnosis and management of hyperthyroidism and other causes of thyrotoxicosis in China” (2022) (referred to as the “guidelines”) was officially published in August 2022 in the Chinese Journal of Endocrine Metabolism. These guidelines have been extensively updated from the 2007 version, with 15 sections covering the etiology, clinical manifestations, diagnosis, evaluation, and treatment of hyperthyroidism, as well as the management of specific types of thyrotoxicosis. The new version guidelines proposed 107 recommended opinions supported by stronger evidence, offering comprehensive and reliable guidance for clinical doctors and medical professionals dealing with thyrotoxicosis. This article aimed to extract the key points and recommended strategies from the guidelines to help clinical doctors better understand and apply the latest guiding principles. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Fault Detection in Power Distribution Systems Based on Gated Recurrent Attention Network CHEN Haolan, JIN Bingying, LIU Yadong, QIAN Qinglin, WANG Peng, CHEN Yanxia, YU Xijuan, YAN Yingjie Journal of Shanghai Jiao Tong University    2024, 58 (3): 295-303.   DOI: 10.16183/j.cnki.jsjtu.2022.091 Abstract （203）   HTML （10）    PDF（pc） （2938KB）（2962）       Knowledge map    Save To improve fault identification accuracy in power distribution systems, a model named gated recurrent attention network is proposed. First, a higher weight is put on the key cycles of fault phase based on the attention mechanism, making the model focus more on these key messages by weight assignment. Then, the gated recurrent network is adopted, which controls the memory transmission with gate signal and constructs the relationship between input waveform and probability of events at different stages to process the waveform sequence, thereby improving recognition accuracy. Experiments based on both simulation and field data show that the proposed method, under the small-sample-learning condition, is much better than other commonly-used classification models, such as support vector machine, gradient boosting decision tree, and convolutional neural network, providing new insights into fault identification technology in power distribution systems. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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China Alzheimer Report 2024 WANG Gang, QI Jinlei, LIU Xinya, REN Rujing, LIN Shaohui, HU Yisong, LI Haixia, XIE Xinyi, WANG Jintao, LI Jianping, ZHU Yikang, GAO Mengyi, YANG Junjie, WANG Yiran, JING Yurong, GENG Jieli, ZHI Nan, CAO Wenwei, XU Qun, YU Xiaoping, ZHU Yuan, ZHOU Ying, WANG Lin, GAO Chao, LI Binyin, CHEN Shengdi, YUAN Fang, DOU Ronghua, LIU Xiaoyun, LI Xuena, YIN Yafu, CHANG Yan, XU Gang, XIN Jiawei, ZHONG Yanting, LI Chunbo, WANG Ying, ZHOU Maigeng, CHEN Xiaochun, representing the China Alzheimer's Disease Report Writing Group Journal of Diagnostics Concepts & Practice    2024, 23 (03): 219-256.   DOI: 10.16150/j.1671-2870.2024.03.001 Abstract （2753）   HTML （157）    PDF（pc） （3339KB）（1775）       Knowledge map    Save With the sustained growth of economy and significant changes in social demographics, the issue of elderly-related diseases has increasingly drawn attention particularly. Alzheimer's disease (AD),as a representative disease of neurodegenerative diseases has become a major challenge, affecting the health and quality of life among the elderly population severely. In recent years, the incidence, prevalence, and mortality rate of AD increase in China, imposing substantial economic burdens on families, society, and the entire healthcare system. To proactively address this challenge and respond to the national 'Healthy China Action' initiative, leading experts from Renji Hospital, Shanghai Jiao Tong University School of Medicine,and Chinese Center for Disease Control and Prevention Chronic Non-communicable Disease Control Center, Fudan University School of Public Health, Shanghai Mental Health Center, Ruijin Hospital,Shanghai Jiao Tong University School of Medicine, Fujian Medical University, and other authoritative institutions, have jointly authored the 'China Alzheimer Disease Report 2024'. Building upon previous editions of 2021, 2022, and 2023, this report updates epidemiological data on AD in China, thoroughly analyzes the latest economic burdens of the disease, and comprehensively evaluates the current status of AD diagnosis and treatment services, as well as the allocation of public health resources in our country. The release of the 'China Alzheimer Disease Report 2024' not only reflects China's progress and efforts in AD research and prevention, but also underscores the social heightened concern for elderly health issues. It aims to provide scientific and technical guidance and robust data support for the prevention, diagnosis, and treatment of AD, offering a professional basis for the government and relevant departments to formulate targeted health policies and intervention measures. Furthermore, it serves as a platform for promoting academic exchanges and cooperation in this field domestically and internationally. Through the dissemination and application of this report, we anticipate it will not only serve as a reference for professionals but also enhance public awareness of AD, promote active participation across various sectors of society, and jointly advance the development of elderly health care in China, empowering us towards achieving 'healthy aging'. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on the Progress of US Military Digital Transformation ZHANG Xue Air & Space Defense    2023, 6 (4): 12-16.   Abstract （570）      PDF（pc） （639KB）（1401）       Knowledge map    Save Digital transformation is strategically required by military transformation. It’s critical to guarantee the reform of military concepts and plays an indispensable link in winning future wars using intelligent technology. To maintain the war advantage, the US military has been actively promoting its digital transformation during the transition of the fourth industrial revolution. This paper has studied the needs, development goals, significance, and implementation approaches of the digital transformation of the current US Army. Then, specific strategies to promote the digital transformation of China’s military were proposed by establishing standards and specifications, building data models, and personnel digital literacy. Related Articles | Metrics | Comments（0）

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Modeling of Multi-Modal Knowledge Graph for Assembly Process of Wind Turbines with Multi-Source Heterogeneous Data HU Zhiqiang, LIU Mingfei, LI Qi, LI Xinyu, BAO Jinsong Journal of Shanghai Jiao Tong University    2024, 58 (8): 1249-1263.   DOI: 10.16183/j.cnki.jsjtu.2023.062 Abstract （310）   HTML （15）    PDF（pc） （11842KB）（1365）       Knowledge map    Save The assembly process information of wind turbines is usually scattered in process documents consisting of multi-modal information, such as 3D models, natural texts, and images. Therefore, the cost of maintaining data and extracting process knowledge is high while the efficiency is low. To solve this problem, a multi-modal knowledge graph-based modeling method for the assembly process knowledge of wind turbines is proposed with multi-source heterogeneous data. First, the concepts in multi-modal process knowledge graph of wind turbine (MPKG-WT) are defined by analyzing the process characteristics of wind turbines to complete the construction of ontology. Then, based on the characteristics of multi-source heterogeneous data and multi-modal information, data analysis, knowledge extraction, and semantic similarity calculation are leveraged to realize the automatic instantiation of the graph. Finally, taking the process data of a wind turbine enterprise as an example, MPKG-WT is constructed and verified by implementing an auxiliary system for process design. The results show that MPKG-WT is more informative than the single-modal graph, and the data in different modals can complement each other, which leads to significant improvements in the efficiency of process design. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Review of Autonomous Decision-Making and Planning Techniques for Unmanned Aerial Vehicle CHENG Haoyu, ZHANG Shuo, LIU Tailai, XU Shengli, HUANG Hanqiao Air & Space Defense    2024, 7 (1): 6-15.   Abstract （428）      PDF（pc） （994KB）（1276）       Knowledge map    Save Facing the future with a highly dynamic, strong confrontation and rejection combat environment, intelligence level has become the core factor restricting the UAV mission/environment adaptability and combat effectiveness. Focusing on autonomous decision-making and planning technology, which is a difficult, rapidly updated and broad application prospect, the main research achievements and future development direction of autonomous decision-making and planning technology were reviewed. Firstly, the necessity of autonomous decision-making and planning technology research was elaborated based on the development and current situation of unmanned aerial vehicles. Secondly, this study summarized and analyzed the current research results of autonomous decision-making and planning technology. Finally, the development direction of autonomous decision-making and planning technology of UAVs was prospected. Related Articles | Metrics | Comments（0）

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Depth Distribution Characteristics of Particle Velocity Field Intensity in Shallow Sea ZHANG Haigang, XIE Jinhuai, LIU Jiaqi, GONG Lijia, LI Zhi Journal of Shanghai Jiao Tong University    2024, 58 (7): 995-1005.   DOI: 10.16183/j.cnki.jsjtu.2023.073 Abstract （1469）   HTML （5）    PDF（pc） （6512KB）（1144）       Knowledge map    Save The depth distribution characteristics of particle velocity field intensity have had a significant impact on underwater acoustic detection and estimation. In this paper, based on the approximate conditions of the incoherent normal modes sum transformation to angular integration, the angular integration form of incoherent normal modes of particle velocity was derived, which avoided the complex calculations of eigenvalues and eigenfunctions while revealing the physical mechanism behind the significant variations in particle velocity intensity with source depth and symmetrical depth. The numerical results demonstrate that the analytical expression of the angular integration of incoherent particle velocity can facilitate fast computation and effectively characterize the depth distribution characteristics of particle velocity intensity. Additionally, due to the superposition effect of the amplitude function of normal modes, there are notable differences in the depth distribution of vertical and horizontal particle velocity. Subsequently, focusing on the intensity difference of particle velocity, the study analyzed the effects of parameters such as horizontal distance, source frequency, sound speed profile, and water depth on the depth distribution characteristics of particle velocity field intensity. The findings provide a theoretical basis for passive target depth estimation based on vector fields. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Low Carbon Economy Optimization of Integrated Energy System Considering Electric Vehicle Charging Mode and Multi-Energy Coupling ZHANG Cheng, KUANG Yu, CHEN Wenxing, ZHENG Yang Journal of Shanghai Jiao Tong University    2024, 58 (5): 669-681.   DOI: 10.16183/j.cnki.jsjtu.2022.364 Abstract （1176）   HTML （7）    PDF（pc） （4514KB）（1103）       Knowledge map    Save In order to enable a multi-energy coupling integrated energy system (IES) to meet the needs of load diversity in low-carbon economic operation, a bi-level optimal configuration method for low-carbon economic operation of multi-energy coupling IES in different charging modes of electric vehicles (EVs) is proposed. First, an IES including cold-thermal-electric-gas coupling is established. Then, in the day-to-day operation stage, factors such as hierarchical carbon trading mechanism and different charging modes of EVs are considered to achieve the lowest daily scheduling cost. In the configuration planning stage, based on the daily operation cost, the equipment capacity is configured with the lowest equipment investment cost and annual operation cost. Finally, Cplex is used to solve the above two-stage objective functions and obtain the optimal configuration scheme and scheduling results through mutual iteration. The results show that the charging method considering the remaining charge of EVs and carbon trading mechanism can significantly reduce carbon emissions and operating costs of the system. The proposed configuration approach can well realize low-carbon economic operation of the multi-energy coupling IES. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Numerical Study of Combustion Characteristics of Methane/Hydrogen Hybrid Fuel of Lean Premixed Swirl WANG Xinci, LIU Aiguo, WU Xiaoqu, ZHANG Yunjie Journal of Shanghai Jiao Tong University    2024, 58 (8): 1179-1187.   DOI: 10.16183/j.cnki.jsjtu.2022.502 Abstract （112）   HTML （9）    PDF（pc） （22873KB）（1036）       Knowledge map    Save The numerical simulation method is used to study the influence of the mixing ratio of methane/hydrogen mixture on the combustion characteristics and pollutant emission characteristics of the combustor. The results show that due to the action of combustion chemical reaction, there exists a certain difference in the structure of cold and hot flow fields. The flow velocity of the hot flow field increases, and the recirculation zone becomes larger. The hydrogen content has a significant impact on the structure and temperature distribution characteristics of the hot flow field, and a central recirculation zone is formed when the hydrogen content is less than 20%, which can maintain stable combustion. When the hydrogen content is greater than 40%, the central recirculation zone disappears, the external recirculation zone is extended, and the spontaneous combustion and flashback occur to varying degrees. As the inlet air temperature increases, the spontaneous ignition phenomenon becomes more obvious, and the inlet air temperature decreases, the flashback phenomenon becomes more obvious. NOx emissions increase with the increase of hydrogen content, CO emissions decrease with the increase of hydrogen content, and CO is concentrated in the combustion zone of the main combustion stage. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Urban Target Detection Algorithm Based on Multi-Modal Fusion of UAV WANG Jianyuan, CHEN Xiaotong, ZHANG Yue, SUN Junge, SHI Donghao, CHEN Jinbao Air & Space Defense    2024, 7 (1): 32-39.   Abstract （521）      PDF（pc） （1812KB）（1032）       Knowledge map    Save Using small drones to detect urban targets such as vehicles at low altitudes in cities has gradually become a mainstream means. Given the existing problems of low detection accuracy of single-mode detection networks affected by visible light detection, inability to work at night and the blurred edge of infrared detection targets in actual scenes, this paper has proposed a multi-modal UAV detection algorithm based on image fusion and deep learning network. Firstly, based on the DUT-VTUAV visible-infrared registration data set and TIF image fusion algorithm, a multi-mode fusion data set was built up. Secondly, by comparing the detection accuracy, speed and several parameters of the existing YOLO series network, the lightweight network YOLO v5n which was most suitable for the mobile deployment of UAVs was decided. Finally, a multi-modal fusion detection algorithm was produced by combining an image fusion algorithm and a target detection model. Comparative experiments on vehicle data sets successfully show that compared with single-mode detection, the detection accuracy of the proposed algorithm is effectively increased, with mAP up to 99.6%, and a set of visible-infrared image fusion detection can be completed within 0.3s, indicating the high real-time performance. Related Articles | Metrics | Comments（0）

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Research progress on the mechanism of skin aging caused by ultraviolet radiation CHEN Heng, WANG Jue, ZHOU Xu Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (3): 382-.   Abstract （51）      PDF（pc） （992KB）（987）       Knowledge map    Save Skin exposed to sunlight for a long period of time will have impaired function and even genetic material alteration， which is manifested by aging characteristics such as water loss， elasticity loss， wrinkle growth， melanin deposition and dryness. There are many ways to cause skin photoaging and the mechanism is complex， the ultraviolet light in sunlight has a particularly obvious effect on skin aging， the ultraviolet light that can act on the skin is divided into two kinds： UVA and UVB. They mainly act on the skin through five mechanisms that lead to photoaging： oxidative stress， damaging genetic material， changing the epidermal microbial community， destroying the function and structure of organelles， and reshaping the extracellular matrix （ECM）.In this paper， these five mechanisms were reviewed， and research directions and prospects in this field were proposed. Related Articles | Metrics | Comments（0）

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Application of Intelligent Perception in OODA Ring of Air Defense and Anti-Missile ZHANG Di, WANG Hui, AN Guochen, GU Cunfeng, FAN Tianzheng Air & Space Defense    2024, 7 (1): 1-5.   Abstract （516）      PDF（pc） （1016KB）（979）       Knowledge map    Save In the future intelligent war, new challenges for detection, perception, command and decision of air defense and anti-missile weapon systems are required and have been put forward. Focusing on intelligent perception countermeasure to empower future air defense and anti-missile combat equipment, the concept and connotation of intelligent perception were analyzed. Centered on the OODA(Observe, Orient, Decide and Act) ring and the typical combat process, the main forms of sensing countermeasures were elaborated, including warning and counter warning, detection and counter detection, and tracking and counter tracking. The core scientific problem was identified, which was feature concealment and recognition. The main application scenarios of perception countermeasure technology in the OODA ring were revealed. Finally, the key technologies that need to be developed to enhance the intelligent level of perception concealment for air defense and anti-missile weapon systems have been proposed. Related Articles | Metrics | Comments（0）

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Development of the Intelligentization of Precision Strike System of Systems FAN Jinxiang, LIU Yiji, LI Ning, CHAI Juanfang Air & Space Defense    2023, 6 (4): 1-11.   Abstract （377）      PDF（pc） （831KB）（825）       Knowledge map    Save In recent years, to accommodate the operational modes being transformed to multi-domain/all-domain joint operation and the weapon equipment being transformed to systematic and cooperative, and to improve the capability of precision strike system of systems in joint-operation and fighting against powerful enemies, USA and other major military powerful countries are making great efforts to carry out the research and development together with preliminary application of intelligentization of precision strike system of systems. They have successfully applied artificial intelligence(AI) in commerce, industry， science and other fields. In this paper, the development of the intelligentization of precision strike systems has been reviewed. The requirements for the intelligentization of advanced precision strike system of systems were investigated. The overall development of intelligentization in the information support system and its engagement chain of precision strike systems were summarized. The key technologies for the intelligentization of precision strike systems were discussed. Related Articles | Metrics | Comments（0）

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College English Writing Instruction in a ChatGPT Context CHEN Mo, LV Mingchen Contemporary Foreign Languages Studies    2024, 24 (1): 161-168.   DOI: 10.3969/j.issn.1674-8921.2024.01.013 Abstract （544）   HTML （22）    PDF（pc） （1279KB）（824）       Knowledge map    Save As a representative of the latest stage in artificial intelligence development, ChatGPT has attracted widespread attention from various sectors of society and has also brought new assistance to foreign language/second language writing instruction. From the perspective of activity theory, this paper analyzed college English writing instruction in the ChatGPT context, by exploring at each stage how teachers can effectively utilize ChatGPT to prepare and organize English writing instruction while actively mitigating potential risks associated with the new technologies. In this process, there have been corresponding changes in the teachers' roles. The teachers have reduced the time spent on knowledge output and repetitive tasks while increasing the emphasis on critical thinking and emotional guidance. Reference | Related Articles | Metrics | Comments（0）

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Overview of the Development of Expendable Conductivity Temperature and Depth DU Libin, CUI Yongchao, LIU Jie, ZHANG Xiaobo Ocean Engineering Equipment and Technology    2023, 10 (3): 33-40.   DOI: 10.12087/oeet.2095-7297.2023.03.04 Abstract （227）      PDF（pc） （1757KB）（818）       Knowledge map    Save Expendable Conductivity Temperature and Depth (XCTD) is an advanced marine dynamic environmental element measuring instrument, which can be used on various civil and military vessels, aircraft or submarines to quickly obtain underwater environmental information data. It is a standing instrument for marine survey and an important supplement to traditional measuring instruments such as marine environmental monitoring buoy, submarine buoy and shipborne CTD because of its flexibility, economy and simplicity. At present, the Expendable Conductivity Temperature and Depth is widely used in the field of ocean profile observation because of its characteristics of simple measurement, high measurement efficiency and low hardware cost. In order to understand the development gap at home and abroad and clarify the future development direction of this field, this paper expounds the development status of the expendable marine exploration instruments at home and abroad through comparative analysis and summary starting from its classification, at the same time, compares the main gap between domestic and foreign products, and focuses on the working principle and key technology of the Submarine-launched Expendable Conductivity Temperature and Depth (SSXCTD), meanwhile, the research summarized the future research directions in this field. Related Articles | Metrics | Comments（0）

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A Method for Evaluating the Effect and Accuracy of 3D Reconstruction Based on Infrared Image CHEN Jichi, WEI Guohua, CHAI Juanfang Air & Space Defense    2023, 6 (4): 42-50.   Abstract （269）      PDF（pc） （2202KB）（775）       Knowledge map    Save Since the current 3D reconstruction evaluation indexes are only suitable for the reconstruction of target visible images, they lack attention to the overall accuracy measurement of the model and ignore the local correctness of the model, indicating that they’re not fully applicable to the 3D reconstruction evaluation of infrared images. In this study, a composite index evaluation model was proposed, including indicators such as the key feature integrity of the reconstruction model, the accuracy of camera pose estimation, and the error benchmark distance of 3D reconstruction evaluation. The simulation results show that the proposed reconstruction model evaluation method performs well robustness under different reconstruction qualities and avoids the problem that a single evaluation index cannot characterize the reconstruction accuracy of the infrared reconstruction model effectively. In addition, this proposed model can accurately quantify the reconstruction effect of point cloud and textured models, especially when compared with the existing three-dimensional reconstruction evaluation method, it is much more comprehensive. Related Articles | Metrics | Comments（0）

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The Interpretation of Knowledge Reproduction in the English Translation of TOU-KUNG Series Terms in A Pictorial History of Chinese Architecture TIAN Hua, LIU Yingchun Contemporary Foreign Languages Studies    2024, 24 (1): 49-58.   DOI: 10.3969/j.issn.1674-8921.2024.01.003 Abstract （141）   HTML （7）    PDF（pc） （1672KB）（739）       Knowledge map    Save The traditional Chinese architectural terms and the basic elements of traditional architectural knowledge, are critical to whether traditional Chinese architectural knowledge can be cross-culturally reproduced effectively or not. Transknowletology defines translation as cultural behavior and social practice of cross-language knowledge processing, reconstruction and retransmission. From the perspective of Transknowletology and based on descriptive method, this paper explores the adoption of translation strategies and its reasons for the traditional Chinese architectural terms by taking English translation of the TOU-KUNG series terms in A Pictorial History of Chinese Architecture as examples to reveal the cross-culture reproduction pattern for transforming local traditional Chinese architectural knowledge into global knowledge. The research results indicate that the English translation strategies for TOU-KUNG series terms are as follows: transliteration as the dominating method, the construction of context, systematic expression and image-text interpretation. The analysis shows that the adoption of English translations strategies is influenced by the internal and external factors such as the historical background, the translation purpose, the translator's accomplishment and context. The paper has certain reference value to the globalization of local knowledge and the mutual learning of civilizations. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Unmanned Aerial Vehicle Path Planning Algorithm Based on Improved Informed RRT* in Complex Environment LIU Wenqian, SHAN Liang, ZHANG Weilong, LIU Chenglin, MA Qiang Journal of Shanghai Jiao Tong University    2024, 58 (4): 511-524.   DOI: 10.16183/j.cnki.jsjtu.2022.442 Abstract （851）   HTML （23）    PDF（pc） （11075KB）（729）       Knowledge map    Save To address the problems of long planning time, redundant planning path, and even planning failure caused by local constraints in narrow spaces in the rapid exploring random trees (RRT) algorithm when unmanned aerial vehicle is planning a path in a complex environment, an improved Informed RRT* algorithm is proposed. First, the artificial potential field (APF) method is used to make the sampling points move to the target point in the way of potential field descending, which improves the purpose and directionality of RRT tree expansion. Considering the complexity of the global environment during tree expansion, an adaptive step size is introduced to accelerate the expansion speed of the RRT tree in an unobstructed environment. Then, relevant constraints are added in the process of random tree expansion to ensure the feasibility of the generated paths. After the first reachable path is found, variable elliptic or ellipsoidal sampling domain is used to limit the selection of sampling points and the expansion range of adaptive step size, so as to accelerate the convergence of the algorithm to the asymptotic optimization. Finally, the original algorithm and the improved algorithm are compared in two-dimensional and three-dimensional complex environment. The simulation results show that the improved algorithm can find a better reachable path with a small number of iterations, lock the elliptic or ellipsoidal sampling domain faster and leave more time for path optimization. The improved algorithm performs better in path planning. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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The Enlightenment for the Development of Anti-UAV Equipment from the Offensive and Defensive Operations of UAVs Between Russian and Ukrainian ZHANG Yaoyi, LI Ning Air & Space Defense    2024, 7 (3): 34-39.   Abstract （231）      PDF（pc） （924KB）（677）       Knowledge map    Save According to the offensive and defensive operations of UAVs （Unmanned Aerial Vehicles） in the conflict between Russia and Ukraine, the methods of countering new air threats represented by UAVs in the future were studied. By reviewing the overall situation of the UAVs employed by Russia and Ukraine, the methods of using various UAVs to build an integrated reconnaissance and offensive system on both sides were summarized. From the perspective of responding to the UAV threat, this paper elaborated on the overall overview of the anti-UAV equipment employed by both sides and summarized the methods of building an integrated anti-UAV system using various soft and hard killing methods. According to the practical experience of warfare, considering the development of strong hostile UAVs and anti-UAV equipment such as the US military, enlightenment and suggestions for the future development of anti-UAV equipment were proposed. Related Articles | Metrics | Comments（0）

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Application of Ship 3D-modeling based on NURBS surface ZHANG Dapeng, YAN Jin, ZHAO Bowen, HOU Ling, ZHU Keqiang Ocean Engineering Equipment and Technology    2023, 10 (3): 24-32.   DOI: 10.12087/oeet.2095-7297.2023.03.03 Abstract （161）      PDF（pc） （7786KB）（645）       Knowledge map    Save NUBRS surface modeling technology is specially designed for the reconstruction of 3D models of complex surface objects. It can accurately and precisely express the contour and shape of the 3D model of target objects based on the form of curves and surfaces. This paper introduces Maxsurf Modeler, a 3D modeling program of hull based on NURBS surface, and gives the process of applying this program to 3D modeling of hull. At the same time, the reliability and applicability of the 3D model are verified by CFD. In the calculation of hydrostatic resistance, the maximum error under 6 working conditions is 2.29%. In seakeeping calculation, the calculation error of pitch motion is the largest, which is 19.32%. The results show that the 3D model completed by Maxsurf Modeler has certain reliability. Related Articles | Metrics | Comments（0）

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Ekphrasis in the Oral Tradition: The Mongolian Epic as an Example A Jingsi Contemporary Foreign Languages Studies    2023, 23 (5): 185-192.   DOI: 10.3969/j.issn.1674-8921.2023.05.019 Abstract （105）   HTML （3）    PDF（pc） （1431KB）（629）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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English Translation of Ancient Chinese Texts: Experiences and Methods ZHANG Yue, SUN Yifeng Contemporary Foreign Languages Studies    2024, 24 (1): 136-149.   DOI: 10.3969/j.issn.1674-8921.2024.01.011 Abstract （235）   HTML （7）    PDF（pc） （1321KB）（603）       Knowledge map    Save English translations of ancient texts are important for spreading Chinese culture abroad. Domestication and foreignization strategies from the perspective of cross-cultural translation are practical considerations of the operational matrix. Translators must select a proper translation method based on the type of audience, the purpose of translation, the historical and cultural context, and the peculiarities of ancient texts. This article explores the characteristics and causes of the three approaches: translation by Chinese scholars, translation by Western scholars, and translation by Chinese and Western collaborators, requiring strong support from official institutions or private organizations. It also examines the content, quality, and orientation of overseas publications of English translations of ancient texts, especially English translation series, and advocates the strengthening of overseas publication and distribution, which will contribute to the dissemination of English translations of ancient texts overseas and the globalization of traditional Chinese culture. Reference | Related Articles | Metrics | Comments（0）

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Concept of Future Intelligent Kill Web RUAN Kaizhi, SUN Xuean, TONG Yun , LIANG Shuo, XU Tianyang Air & Space Defense    2024, 7 (3): 27-33.   Abstract （259）      PDF（pc） （2786KB）（582）       Knowledge map    Save The battlefield among great power wars drives the direction of high dynamic and high intensity. A single weapon system or its kill chain is difficult to adapt to future wars. As a new operational concept with high dynamics and high flexibility, the kill web has high self-adaptability, high organization and toughness. Through the extremely fast response speed, the commander can complete the combat groupings and the command control, which significantly enhances the decision-making efficiency. Firstly, this paper conducted research aiming at the combat concept of the kill web. Then, it discussed and analyzed the background of the kill chain, the transition from chain to web, basic concepts, typical cases and key technologies. Finally, utilizing intelligent technology, the paper summarized the concept of a future intelligent kill web. Related Articles | Metrics | Comments（0）

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Review on Film Cooling Technology in High Supersonic Flow DAI Siming, XU Ziran, DOU Yibin, MA Haiteng, ZHAO Ruiyi Air & Space Defense    2023, 6 (4): 24-30.   Abstract （256）      PDF（pc） （609KB）（581）    PDF（mobile） （625KB）（0）    Knowledge map    Save Film cooling, characterized by long-lasting duration, high cooling efficiency, and reusability, is considered a highly promising thermal protection technology for spacecraft in Earth-to-orbit missions. In the supersonic flow scenario, the research on film cooling has mainly focused on the configuration of tangential slots. Besides, investigations into the use of film cooling by reverse jet on the blunt nose in high supersonic flow have emerged, with promising results indicating effective thermal protection and drag reduction. Considering coolant properties, molecular weight, specific heat, viscosity, and speed of sound all influence the cooling efficiency, the specific heat playing a significant role requires careful evaluation in scaling studies. In the flow conditions, the blowing ratio, the shock waves, and the boundary layer state also affect the film cooling effectiveness. For tangential film cooling conditions, the presence of impinging shock waves diminishes the cooling efficiency, because these shocks elevate the local adiabatic wall temperature while accelerating the coolant's dissipation. Nevertheless, there are limited studies on the interaction between shock waves and cross-jet film cooling, thus further detailed investigations to explore the underlying principles and mechanisms are necessary. Related Articles | Metrics | Comments（0）

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Analyzing the Linguistic Landscape in Ethnic Minority Areas from the Perspective of Sociolinguistics of Globalization:A Case in Daozhen Gelao and Miao Minority County WANG Huoyan, TONG Xiuwen Contemporary Foreign Languages Studies    2024, 24 (1): 69-80.   DOI: 10.3969/j.issn.1674-8921.2024.01.05 Abstract （165）   HTML （6）    PDF（pc） （1300KB）（562）       Knowledge map    Save Taking the linguistic landscape on Yinzhen Avenue in Daozhen Gelao and Miao Autonomous County of Guizhou province as a sample, this paper discusses the linguistic landscape in the urban center of ethnic minority areas with a focus on English use within the framework of the three core concepts of mobility, standardization and localization from the perspective of sociolinguistics of globalization. Through the statistical analysis of the language distribution proportions on the 240 collected linguistic signs, it is found that English is the second language after Chinese and has higher visibility and mobility than minority languages. Findings also show the low degree of standardization as well as the large proportion and high degree of localization in English use, which reflects the role of English in the linguistic landscape in presenting Chinese native culture and manifesting the Chinese people's cultural confidence and national identity, and discloses the low education level and the endangerment of ethnic minority languages. Such results have certain practical significance for knowing the language ecology in ethnic minority areas, and promoting the revision and implementation of national language planning and language policies. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Numerical Analysis and Risk Study of Large Offshore Converter Station Transportation and Floatover Installation Xiong Gen, Liang Fusheng, Li Xin, Sun Zhenzhou, Xu Xin, Tian Xinliang, Ocean Engineering Equipment and Technology    2023, 10 (3): 1-12.   DOI: 10.12087/oeet.2095-7297.2023.03.01 Abstract （192）      PDF（pc） （8344KB）（548）       Knowledge map    Save With the development trend of large-scale and ocean-going offshore wind farms, the demand for large-scale offshore converter stations will continue to increase, and their installation problems will gradually receive attention. In this paper, taking the SanXia Rudong offshore converter station as an example, a multi-body dynamic model is established by OrcaFlex software to numerically calculate the transportation and floatover installation process of the converter station, and the motion, acceleration and mooring line force of the barge and converter station in some stages are analyzed. The results show that during the transportation stage, when the significant wave height is the same, the motion amplitude and acceleration of the barge-converter station system increase correspondingly with the increase of the spectral peak period Tp (6~9s), but they are basically within the limit value. During the installation stage, the spectral peak period Tp = 8s at the same wave height will cause greater surge, sway, and yaw motion amplitudes than Tp = 6s and 10s, and more attention should be paid to such working conditions. In addition, head sea conditions are more conducive to the floatover operation. Besides, the risk research of the converter station transportation stage is carried out, and effective risk control measures are proposed to provide a certain reference for the actual large-scale offshore converter station installation operation. Related Articles | Metrics | Comments（0）

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Interval Estimation of State of Health for Lithium Batteries Considering Different Charging Strategies ZHANG Xiaoyuan, ZHANG Jinhao, YANG Lixin Journal of Shanghai Jiao Tong University    2024, 58 (3): 273-284.   DOI: 10.16183/j.cnki.jsjtu.2022.347 Abstract （275）   HTML （12）    PDF（pc） （3204KB）（544）       Knowledge map    Save State of health (SOH) estimation of lithium-ion (Li-ion) batteries is of great importance for battery use, maintenance, management, and economic evaluation. However, the current SOH estimation methods for Li-ion batteries are mainly targeted at specific charging strategies by using deterministic estimation models, which cannot reflect uncertain information such as randomness and fuzziness in the battery degradation process. To this end, a method for estimating the SOH interval of Li-ion batteries applicable to different charging strategies is proposed, which extracts multiple feature parameters from the cyclic charging and discharging data of batteries with different charging strategies, and automatically selects the optimal combination of feature parameters for a specific charging strategy by using the cross-validation method. In addition, considering the limited number of cycles in the whole life cycle of Li-ion batteries as a small sample, support vector quantile regression (SVQR), which integrates the advantages of support vector regression and quantile regression, is proposed for the estimation of SOH interval of lithium-ion batteries. Li-ion battery charge/discharge cycle data with deep discharge degree is selected as the training set for offline training of the SVQR model, and the trained model is used for online estimation of the SOH of Li-ion batteries of different charging strategies. The proposed method is validated using three datasets with different charging strategies. The experimental results show that the proposed method is applicable to different charging strategies and the estimation results are better than those of quantile regression, quantile regression neural network and Gaussian process regression. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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An Algorithm for Trajectory Generation and Prediction of Hypersonic Vehicle Based on Transformer Architecture DI Ziqi, WANG Xiangyu, WU Shuang, ZHOU Yu Air & Space Defense    2023, 6 (4): 35-41.   Abstract （480）      PDF（pc） （1791KB）（543）       Knowledge map    Save With the increasing attack level of hypersonic vehicles, how to accurately predict their trajectory has become critical to defense research. This article has proposed a trajectory prediction model based on parameter estimation, which combines with the Transformer deep learning model. First, this paper developed a control parameter model that affects aerodynamic vehicle maneuvers and summarized the parameters’ controlling rules under different maneuver modes. Secondly, this paper established a trajectory control parameter prediction model based on Transformer architecture and designed a neural network loss function that can balance the optimal control parameters with the physical trajectory. Finally, this article simulated trajectory data for multiple different manoeuvring modes and analyzed the changes in control parameters and trajectory data using the trajectory prediction model. This article has then obtained test results by inputting test trajectory data into the trained model. The results show that the trajectory prediction model proposed in this article performs precise prediction of hypersonic vehicle trajectories under different manoeuvring modes. Related Articles | Metrics | Comments（0）

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Attitude Planning Method of Satellite Staring Imaging to Aerial Dynamic Target DU Ning, WU Shufan, CHEN Zhansheng, CHEN Wenhui, WANG Shiyao, XU Jiaguo, QIN Dongdong Journal of Shanghai Jiao Tong University    2024, 58 (4): 411-418.   DOI: 10.16183/j.cnki.jsjtu.2022.425 Abstract （393）   HTML （60）    PDF（pc） （1661KB）（538）       Knowledge map    Save Aimed at the staring imaging requirements of the low earth orbit (LEO) satellite array camera for aerial dynamic targets, a method for target position estimation and staring attitude planning based on image miss-distance of the satellite platform is proposed. Based on the prior knowledge of the flying altitude of the aerial dynamic target, taking the latitude and longitude change rate of the target geography as the state quantity and the central pixel value of the target as the observation, an extended Kalman filter (EKF) is designed to realize the accurate smooth estimation and prediction of the geographical latitude and longitude of the target. On this basis, the attitude and angular velocity of the satellite are planned, the influence of target pixel noise and delay on attitude stability is avoided, and the position estimation of a single satellite to target is realized. The effectiveness of the proposed method is illustrated by a numerical simulation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Refined Simulation of Near-Surface Wind Field of Atmospheric Boundary Layer Based on WRF-LES Model LIU Dalin, TAO Tao, CAO Yong, ZHOU Dai, HAN Zhaolong Journal of Shanghai Jiao Tong University    2024, 58 (2): 220-231.   DOI: 10.16183/j.cnki.jsjtu.2022.415 Abstract （1850）   HTML （33）    PDF（pc） （9950KB）（535）       Knowledge map    Save Extreme meteorological disasters such as typhoons pose a serious threat to the safety of engineering structures. Therefore, the refined simulation on the near-surface atmospheric boundary layer (ABL) is valuable for civil engineering. Large-eddy simulation (LES) implemented in the weather research and forecating (WRF) model has the advantages of multiple options of numerical schemes and high accuracy. It is generally suitable for the refined simulation of the near-surface wind field, although the performance of simulation results is closely related to the numerical methods. This paper assesses the impacts of vital parameters regarding subfilter-scale (SFS) stress models, mesh size, and spatial difference schemes within WRF-LES to simulate the ideal ABL in order to figure out appropriate numerical schemes for the refined simulation of the near-surface wind field. The wind field characteristics are addressed and analyzed such as mean wind speed profile, turbulence intensity profile, and power of spectrum. Comparisons of simulation results among different SFS stress models indicate that the nonlinear backscatter and anisotropy one (NBA1) SFS stress model can effectively improve the accuracy of simulation in the near-surface wind profiles. Investigations of mesh resolution effects indicate that the nonuniformly refined vertical grid near the surface agrees much better with the expected profiles and reduces the expenditure of computational resources. Furthermore, the results show that the even-order spatial difference schemes produce more small-scale turbulent structures than the odd-order difference schemes. The numerical methods of WRF-LES proposed can provide a technical reference for refined simulation of the near-surface wind field and typhoon boundary layer. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Joint Policy Optimization of Quality Control, Condition-Based Maintenance and Spare Ordering for a Degradation System HAN Mengying, MA Shugang, YANG Jianhua, LI Wei, MA Zhichao Journal of Shanghai Jiao Tong University    2024, 58 (3): 361-370.   DOI: 10.16183/j.cnki.jsjtu.2022.356 Abstract （156）   HTML （7）    PDF（pc） （5697KB）（531）       Knowledge map    Save A joint policy of quality control, condition-based maintenance and spare ordering is proposed for a degradation system subject to the delay time concept. First, considering the fact that product quality is largely dependent on system state, a two-stage inspection policy is proposed, in which the system state is detected during the initial deterioration process, but the product quality is checked after the defective state is found by an inspection. Then, based on the condition inspection information, quality information and failure information, the corresponding maintenance activity is chosen. Combining the state of the spare part when the system replacement is required, all possible events during an inspection interval are discussed and then a mathematical model of average cost rate is established. Afterwards, a simulation-based optimization approach coupling discrete event simulation and response surface methodology is devised to obtain a near optimal joint policy. Finally, a numerical example is provided to demonstrate the effectiveness and applicability of the proposed policy by comparing it with the comparative policy. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Application of Machine Learning in Chemical Synthesis and Characterization SUN Jie, LI Zihao, ZHANG Shuyu Journal of Shanghai Jiao Tong University    2023, 57 (10): 1231-1244.   DOI: 10.16183/j.cnki.jsjtu.2023.078 Abstract （580）   HTML （53）    PDF（pc） （4421KB）（523）       Knowledge map    Save Automated chemical synthesis is one of the long-term goals pursued in the field of chemistry. In recent years, the advent of machine learning (ML) has made it possible to achieve this goal. Data-driven ML uses computers to learn relative information in massive chemical data, find objective connections between information, train models by using objective connections, and analyze the actual problems which can be solved according to these models. With its excellent computational prediction capabilities, ML helps chemists solve chemical synthesis problems quickly and efficiently and accelerate the research process. The emergence and development of ML has shown a strong research assistance in the field of chemical synthesis and characterization. However, there is no highly versatile ML model at present, and chemists still need to choose different models for training and learning according to actual situations. This paper aims to show chemists the best cases of common learning methods in chemical synthesis and characterization from the perspective of ML, such as supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, etc., and help them use ML knowledge to further broaden their research ideas. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Interval Prediction Technology of Photovoltaic Power Based on Parameter Optimization of Extreme Learning Machine HE Zhizhuo, ZHANG Ying, ZHENG Gang, ZHENG Fang, HUANG Wandi, ZHANG Shenxi, CHENG Haozhong Journal of Shanghai Jiao Tong University    2024, 58 (3): 285-294.   DOI: 10.16183/j.cnki.jsjtu.2022.338 Abstract （320）   HTML （14）    PDF（pc） （1907KB）（518）       Knowledge map    Save This paper proposes an interval prediction technology of photovoltaic (PV) power based on parameter optimization of extreme learning machine (ELM) model. First, the weighted Euclidean distance is proposed as the evaluation index of PV power prediction interval. The historical sample units are screened and the ELM training set is optimized. Then, a hybrid optimization algorithm for ELM parameters is proposed. The hidden layer input and output weights and biases parameters of the ELM model are optimized by using the elitist strategy genetic algorithm and quantile regression, and the trained model is used to predict the PV power range. Finally, an actual calculation example is constructed based on the historical data of PV power plants and weather stations. The PV power interval is predicted, and the results are compared with those obtained by other methods. The results of the calculation example show that the method proposed can greatly improve the accuracy of interval prediction while increasing the reliability of interval prediction. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Experimental Study of Influence of Secondary Combustion on Combustion Characteristics of Axial Staged Combustor SUI Yongfeng, ZHANG Yuming, ZANG Peng, JIA Yuliang, HENG Sijiang, FU Yanni, GE Bing Journal of Shanghai Jiao Tong University    2024, 58 (8): 1139-1147.   DOI: 10.16183/j.cnki.jsjtu.2023.076 Abstract （273）   HTML （26）    PDF（pc） （4916KB）（503）       Knowledge map    Save In order to obtain the influencing rule of secondary combustion on emissions and combustion oscillation characteristics of gas turbine axial staged combustor in non-premixed combustion mode and explore a load increasing mode with stable low emission, an axial staged combustor for F-class gas turbines is selected for experimental study. The results show that CO consumption is restrained and CO emission increases sharply when secondary fuel is added at a lower combustor outlet temperature. The addition of secondary fuel and the increase of secondary equivalence ratio lead to the reduction of NOx emission, but the increase of load can weaken the ability of secondary fuel to reduce NOx emission. The addition of secondary fuel and the increase of secondary equivalence ratio restrain the combustion oscillation in the low frequency band (75—90 Hz). When the secondary equivalence ratio is higher than a certain threshold (0.19), the addition of secondary fuel can restrain higher frequency(175—210 Hz) combustion oscillation. In addition, by comprehensively considering the influence of secondary combustion on emissions and combustion oscillation, the operating range and load increasing mode of low emissions and stable combustion of axial staged combustor in the higher load range (20%—50% load) are obtained, which provides a reference for stable low emission operation of the unit during load increasing. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Journal of Diagnostics Concepts & Practice    2024, 23 (01): 96-99.   DOI: 10.16150/j.1671-2870.2024.01.013 Abstract （120）   HTML （4）    PDF（pc） （842KB）（499）       Knowledge map    Save Reference | Related Articles | Metrics | Comments（0）

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Key Technologies and Applications of Shared Energy Storage SONG Meng, LIN Gujing, MENG Jing, GAO Ciwei, CHEN Tao, XIA Shiwei, BAN Mingfei Journal of Shanghai Jiao Tong University    2024, 58 (5): 585-599.   DOI: 10.16183/j.cnki.jsjtu.2022.360 Abstract （1500）   HTML （28）    PDF（pc） （4173KB）（498）       Knowledge map    Save Under the goal of “carbon peaking and carbon neutrality”, the penetration rate of renewable energy continues to rise, whose volatility, intermittency, and uncertainty pose significant challenges to the safe and stable operation of the power system. As a typical application of the sharing economy in the field of energy storage, shared energy storage (SES) can maximize the utilization of resources by separating the “ownership” and “usage” of energy storage resources, which provides a new solution to the problem of imbalance between supply and demand caused by the large-scale integration of renewable energy into the grid, and has broad development prospects. The business model of SES is explored based on value positioning, cost modeling, and profitability strategies, and a detailed summary of SES trading varieties, operational structure, and engineering applications is discussed. Finally, the future trend of shared energy storage is discussed and envisioned. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research Progress and Challenges of Ship Ballast Water Treatment ZHANG Weidong, DU Bin, QU Huifang, LI Tao Ocean Engineering Equipment and Technology    2023, 10 (4): 1-10.   DOI: 10.12087/oeet.2095-7297.2023.04.01 Abstract （295）      PDF（pc） （3948KB）（479）       Knowledge map    Save Ship ballast water is one of the main ways for the alien invasion. It is considered as one of the four threats to the marine environment. The ballast water convention established to solve this problem has stipulated the standards for ballast water treatment， which has entered into force on September 6，2019. This paper reviews the background and social needs of the research on ballast water treatment technology， analyzes the characteristics of different ballast water treatment technologies， introduces the latest achievements of the research on ballast water treatment technology in the academic community， and the efforts of the industrial community in the research and development of ballast water treatment systems， and discusses the challenges faced by ballast water treatment at different levels of standards， economy， technology， testing and law. Related Articles | Metrics | Comments（0）

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Research on New Aerospace Defense Technologies Inspired by the Threat of Starlink System GU Cunfeng, YANG Yang, YANG Bowen, QIANG Jiajiu, JIA Yuhang Air & Space Defense    2024, 7 (2): 8-15.   Abstract （244）      PDF（pc） （1781KB）（476）       Knowledge map    Save As a core technique for the US military's layout of the aerospace battlefield, the Starlink system will likely subvert the current operational model and break the balance of major powers by penetrating reconnaissance, command, striking, assessment, support and other operational links. This paper has reviewed the basic attributes, development status and capability characteristics of the Starlink system, analyzed its future operational application model referring to the Russia-Ukraine conflict cases, evaluated the threat of Starlink under the future aerospace situation, and proposed targeted new aerospace defense technology. It thus provides the references for the construction of aerospace security under the impact of Starlink. Related Articles | Metrics | Comments（0）

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Pre-service Teachers’ Acceptance of Artificial Intelligence-assisted Foreign Language Education MEI Bing Contemporary Foreign Languages Studies    2024, 24 (2): 89-99.   DOI: 10.3969/j.issn.1674-8921.2024.02.008 Abstract （268）   HTML （8）    PDF（pc） （1516KB）（469）       Knowledge map    Save Based on prior technology acceptance research, the study employed the focus group interview method and investigated 11 pre-service English teachers’ acceptance of artificial intelligence-assisted English pronunciation training. Results from the thematic analysis suggest that this cohort of pre-service teachers held paradoxical views towards this approach. On one hand, they acknowledged its usefulness and ease of use; while on the other hand, they showed negative attitude and low intention to adopt this approach. The findings of this study are of practical value for preparing pre-service teachers for the incoming artificial intelligence era and optimizing the forms of language education in the new era. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Optimization Design of New Bionic Propeller WU Chunxiao, LU Yu, LIU Shewen, GU Zhuhao, SHAO Siyu, SHAO Wu, LI Chuang Journal of Shanghai Jiao Tong University    2023, 57 (11): 1421-1431.   DOI: 10.16183/j.cnki.jsjtu.2022.174 Abstract （1853）   HTML （28）    PDF（pc） （10709KB）（456）       Knowledge map    Save A novel method for optimal design of hydrodynamic performance of bionic propeller with a deformable leading edge is proposed. Based on the bionics principle and method of parameterized modeling, the fore-fin concave-convex structure of humpback whales is applied to the propeller leading edge, the leading edge in the propeller to meet flow region according to the exponential decay curve and the standard sine curve smooth leading edge for similar humpback fins protuberant structure of concave and convex deformation, and the leading edge of concave and convex bionic propeller. The hydrodynamic performance, the cavitation performance, and the noise performance of the exponential decay bionic propeller and the sinusoidal function bionic propeller were simulated respectively. The propeller with a better performance is selected, and the simulation based design (SBD) technology is introduced into the optimization design of the new bionic propeller. The parameters controlling the shape of the exponential attenuation curve of the guide edge deformation are taken as optimization design variables, the torque of the parent propeller is taken as the constraint condition, the open water efficiency is selected as the objective function, and the optimization algorithm of Sobol and T-Search is adopted. A bionic propeller optimization system based on the exponential decay curve is constructed. The results show that the application of the concave and convex structure of the humpback whale fore-fin to the guide edge of the propeller improves the cavitation performance and noise performance of the propeller, but the improvement of the open water performance of the propeller is not particularly significant. It is verified that the hydrodynamic performance optimization design method of the bionic propeller established in this paper is effective and reliable, which provides a certain theoretical basis and technical guidance for the performance numerical calculation and configuration optimization design of the bionic propeller. Table and Figures | Reference | Related Articles | Metrics | Comments（0）